Course Schedule and Catalog
Course Schedule - Spring Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
INDE 577 001 (CRN: 23325)
DATA SCI & MACHINE LEARNING
Long Title: DATA SCIENCE AND MACHINE LEARNING
Department: Industrial Engineering
Instructor: Davila, Randy
Meeting: 1:00PM - 3:30PM F (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Must be enrolled in one of the following Degree(s):
Master of Computer Science
Master of Comp Sci & Eng
Master of Statistics
Master of Electrical Comp Eng
Master of Eng Mgmt & Leadershp
Master of Industrial Eng
Master of Mechanical Eng
Master of Comp & Appl Math
Master of Data Science
Section Max Enrollment: 40
Section Enrolled: 13
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 39
Enrollment data as of: 27-DEC-2024 5:54AM
Final Exam: GR Course-Dept Schedules Exam
Description: Fundamentals of data science and machine learning. Topics include: introduction to scikit-learn, Keras and tensorflow2, linear and logistic regression, clustering, support vector machines, random forest trees, neural networks, deep learning, natural language processing. Cross-list: CMOR 438. Recommended Prerequisite(s): Three semesters of calculus recommended. A background in some programming language would be extremely useful. Mutually Exclusive: Cannot register for INDE 577 if student has credit for CMOR 438.